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DTSTAMP:20260817T171532Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T130000
DTEND;TZID=Asia/Tokyo:20241204T131100
UID:siggraphasia_SIGGRAPH Asia 2024_sess115_papers_333@linklings.com
SUMMARY:EVSplitting: An Efficient and Visually Consistent Splitting Algori
 thm for 3D Gaussian Splatting
DESCRIPTION:Qi-Yuan Feng, Geng-Chen Cao, Hao-Xiang Chen, Qun-Ce Xu, and Ta
 i-Jiang Mu (BNRist, Department of Computer Science and Technology, Tsinghu
 a University); Ralph Martin (School of Computer Science and Informatics, C
 ardiff University); and Shi-Min Hu (BNRist, Department of Computer Science
  and Technology, Tsinghua University)\n\nThis paper presents EVSplitting, 
 an efficient and visually consistent splitting algorithm for 3D Gaussian S
 platting (3DGS). It is designed to make operating 3DGS as easy and effecti
 ve as other 3D explicit representations, readily for industrial production
 s. The challenges of above target are: 1) The huge number and complex attr
 ibutes of 3DGS make it tough to explicitly operate on 3DGS in a real-time 
 and learning-free manner; 2) The visual effect of 3DGS is very difficult t
 o maintain during explicit operations and 3) The anisotropism of Gaussian 
 always leads to blurs and artifacts. As far as we know, no prior work can 
 address these challenges well. In this work, we introduce a direct and eff
 icient 3DGS splitting algorithm to solve them. Specifically, we formulate 
 the 3DGS splitting as two minimization problems that aim to ensure visual 
 consistency and reduce Gaussian overflow across boundary (splitting plane)
 , respectively. Firstly, we impose conservations on the zero-, first- and 
 second-order moments of the weighted Gaussian distribution to guarantee vi
 sual consistency. Secondly, we reduce the boundary overflow with a special
  constraint on the aforementioned conservations. With these conservations 
 and constraints, we derive a closed-form solution for the 3DGS splitting p
 roblem. This yields an easy-to-implement, plug-and-play, efficient and fun
 damental tool, benefiting various downstream applications of 3DGS.\n\nRegi
 stration Category: Full Access, Full Access Supporter\n\nLanguage Format: 
 English Language\n\nSession Chair: Peng-Shuai Wang (Peking University)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_333&sess=sess115
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